Ups

1
Ups Downs for Oceanography
2
I. Summary

• This series is directed at
• Establishing importance of oceanographic data in
  everyday life
• Exploring instrumentation/platforms available,
  focusing on gliders
• Discussing examples of data collected
• Practicing applying such data

3
II. Objectives

• After this series, you will be
• Able to provide a suite of examples of
  oceanographic data that impact day-to-day life
• Able to discuss the various tools available to
  collect such data
• Able to navigate various web sites to obtain and
  use such data

4
III. Materials

• Computer lab with internet access
• Handouts
• 1. URL maps
• 2. Ideas sheet

5
IV. Procedure

• Lecture on the topic
• Consult URL map to navigate various relevant
  sites
• Consult ideas sheet or come up with own ideas
  to complete project

6
Projects (choose 1)

• Wow! Fishing at xxx is going to be great today
• Why is the beach water cold today?
• We just lost xxxx because the captain did not
  check at prevailing currents

7
The Plan
8
I. Predicting the Ocean
9

• A. Important
• B. Data needed

Beach erosion
Shipping
10
Fishing
11
Biological phenomena
12
(No Transcript)
13
II. Quest for data

14
A. Dynamic environment
15
B. Real time or near-real time data

• Why?
• Collection
• Storage
• Analysis

16
2. Data collection

• Use assets
• Land based
• At sea
• Satellites

17
3. Storage

• Retrieval facilitated

18
4. Data analysis
19
Data scrutiny accuracy
20
Data scrutiny consistency
21
Data scrutiny artifacts
22
III. Parameters

• A. CTD
• B. Backscatter
• C. DO
• D. Wave data
• E. Current vector
• F. Other

23
IV. Collection methods

• A. Mission requirements
• B. Endurance

24
V. Some of the assets

• Satellites
• Cabled seafloor observatory
• Land based radar
• Vehicles
• Ships
• Submersibles

25
A. Satellites
26
Chlorophyll
27
Sea surface temperature anomalies
latitude/temperature anomalies
28
True color imagery
29
B. Cabled seafloor observatory
30

• http//marine.rutgers.edu/nurp/leo-15/Node_B_Wave_
  Plots.htm

31
C. Land based radar
32

• http//marine.rutgers.edu/cool/codar/real-time/arc
  hiveviewer_lr.php

33
D. Vehicles
34
1. Ships
35
(No Transcript)
36
(No Transcript)
37
2. Submersibles
38

• Manned
• Un-manned
• ROV
• AUV

39

• Non-autonomous assets have shortcomings
  comparable to ships

40
ii. An AUV Glider

• Unpowered vehicle
• High endurance
• Adequate payload capacity
• Programmable
• Communicates

41
(No Transcript)
42
(No Transcript)
43
VII. What is a glider?

• Magic!?

44

• Forward motion without power!
• Takes instructions and reports back

45
(No Transcript)
46
VI. Survey of coastal ocean to 200 m
47
(No Transcript)
48
(No Transcript)
49
(No Transcript)
50
VIII. Types of data

• Real time
• Discrete/cleaned
• Archived

51
Uses

• Real time
• Tracking a current event
• Can be unwieldy
• Discrete
• Loss of time/event line
• Economical

52

• Archived
• Analyzing changes in parameters
• Usually distilled

53
(No Transcript)
54
(No Transcript)
55
(No Transcript)
56
(No Transcript)
57
IX. Examples of data available

• http//www.osdpd.noaa.gov/PSB/EPS/SST/data/FS_km14
  nat00.gif

58
SST

• http//marine.rutgers.edu/cool/show/?file../regio
  ns/bigbight/sst/noaa/2006/img/060712.193.0938.n12.
  jpg

59
Chlorophyll

• http//marine.rutgers.edu/cool/show/?file../regio
  ns/bigbight/chlor/fy1d/2006/img/060712.193.1217.fy
  d.jpg

60
Salinity

• Ocean salinity http//www.windows.ucar.edu/tour/li
  nk/earth/Water/images/salinity_big_gif_image.html

61
Questions that combine data sets

• How do winds influence chlorophyll plankton?
• Compare salinity data and temperature data

62
End
63
End
64
Mid-Atlantic Bight
65
(No Transcript)
66
(No Transcript)
67

• http//www.windows.ucar.edu/
• Ocean salinity http//www.windows.ucar.edu/tour/li
  nk/earth/Water/images/salinity_big_gif_image.html
  

68
Sea surface salinity

• http//www7320.nrlssc.navy.mil/global_ncom/mab.htm
  l

69
Bight

• A bend or curve, especially in a shoreline.
• A wide bay formed by such a bend or curve.

70
Cape Cod
Mid-Atlantic Bight
Cape Hatteras
71
Sea surface temperature anomalies
latitude/temperature anomalies
72
Gulf of Maine

• http//www.gomoos.org/buoy/satellite.html

73
BI106 material

• http//www.ndbc.noaa.gov/educate/educate.shtml